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May 27, 2025

Ramo helps Academics Store Massive Datasets

How Dr. Drummond Fielding uses Ramo Cloud to affordably store petabyte-scale simulation outputs, enabling data preservation and reproducibility without vendor lock-in.

Lukas Bresser
by
Lukas Bresser
Ramo helps Academics Store Massive Datasets

Dr. Drummond Fielding, a theoretical astrophysicist at Cornell University, faced a critical storage challenge. His petabyte-scale simulations generate roughly 5 petabytes of output, creating a costly dilemma: storage expenses versus re-simulation costs reaching into the millions.

Ramo Cloud Storage emerged as his solution, leveraging a decentralized network powered by open protocols like Filecoin. Rather than depending on centralized providers, the system distributes storage across independent hardware operators globally, eliminating vendor lock-in.

Verified Data Integrity

The platform’s key advantage lies in its verification capabilities. The network uses frequent and independently verifiable mathematical proofs to demonstrate that the data uploaded remains unaltered. This enables reproducibility and data integrity by design.

A Broader Vision

Fielding expressed broader interest: “I can think of a dozen university supercomputers right now where researchers would love to put their data somewhere safe.”

The solution offers:

  • Cost-effective storage at a fraction of traditional cloud pricing
  • No vendor lock-in through decentralized infrastructure
  • Verified integrity via cryptographic proofs
  • Global distribution across independent operators

Ramo Cloud Storage represents a new paradigm for academic and research data storage, combining the reliability researchers need with the cost efficiency that budget-constrained institutions require.

Lukas Bresser
by Lukas Bresser
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